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English(EN) WildPPG: A Real-World PPG Dataset of Long Continuous Recordings

新的WildPPG数据集旨在改进真实世界心率估算

研究人员推出了WildPPG,这是一个旨在提高光电容积脉搏波描记法(PPG)信号心率估算准确性的新数据集。由于运动伪影和环境变化,现有方法在处理真实世界数据时常常会遇到困难,因为当前的数据集通常是在受控条件下捕获的。WildPPG包含来自16名参与者在各种活动中(包括旅行和不同海拔)超过216小时的连续PPG记录,并与心电图和其他传感器数据同步。该数据集旨在支持为可穿戴设备开发更鲁棒的心率估算算法。 AI

影响 该数据集有望提高可穿戴设备中心率监测的准确性和可靠性,从而改善用户对健康的洞察。

排序理由 该项目描述了一个新的数据集和相关的研究论文,用于改进特定的AI应用(心率估算)。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新的WildPPG数据集旨在改进真实世界心率估算

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该项目描述了一个新的数据集和相关的研究论文,用于改进特定的AI应用(心率估算)。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Manuel Meier, Berken Utku Demirel, Christian Holz ·

    WildPPG:长连续记录的真实世界PPG数据集

    arXiv:2412.17540v2 Announce Type: replace Abstract: Reflective photoplethysmography (PPG) has become the default sensing technique in wearable devices to monitor cardiac activity via a person's heart rate (HR). However, PPG-based HR estimates can be substantially impacted by fact…